tech-debt

GitHub

用于系统性地识别、分类和优先排序技术债务。涵盖代码、架构、测试、依赖、文档及基础设施等类型,提供基于影响、风险和成本的优先级评分框架,并输出包含业务理由的分阶段修复计划。

engineering/skills/tech-debt/SKILL.md anthropics/knowledge-work-plugins

触发场景

用户询问技术债务相关问题 请求进行技术债务审计 咨询代码重构优先级 评估代码健康状况 查询维护积压情况

安装

npx skills add anthropics/knowledge-work-plugins --skill tech-debt -g -y
更多选项

非标准路径

npx skills add https://github.com/anthropics/knowledge-work-plugins/tree/main/engineering/skills/tech-debt -g -y

不安装直接使用

npx skills use anthropics/knowledge-work-plugins@tech-debt

指定 Agent (Claude Code)

npx skills add anthropics/knowledge-work-plugins --skill tech-debt -a claude-code -g -y

安装 repo 全部 skill

npx skills add anthropics/knowledge-work-plugins --all -g -y

预览 repo 内 skill

npx skills add anthropics/knowledge-work-plugins --list

SKILL.md

Frontmatter
{
    "name": "tech-debt",
    "description": "Identify, categorize, and prioritize technical debt. Trigger with \"tech debt\", \"technical debt audit\", \"what should we refactor\", \"code health\", or when the user asks about code quality, refactoring priorities, or maintenance backlog."
}

Tech Debt Management

Systematically identify, categorize, and prioritize technical debt.

Categories

Type Examples Risk
Code debt Duplicated logic, poor abstractions, magic numbers Bugs, slow development
Architecture debt Monolith that should be split, wrong data store Scaling limits
Test debt Low coverage, flaky tests, missing integration tests Regressions ship
Dependency debt Outdated libraries, unmaintained dependencies Security vulns
Documentation debt Missing runbooks, outdated READMEs, tribal knowledge Onboarding pain
Infrastructure debt Manual deploys, no monitoring, no IaC Incidents, slow recovery

Prioritization Framework

Score each item on:

  • Impact: How much does it slow the team down? (1-5)
  • Risk: What happens if we don't fix it? (1-5)
  • Effort: How hard is the fix? (1-5, inverted — lower effort = higher priority)

Priority = (Impact + Risk) x (6 - Effort)

Output

Produce a prioritized list with estimated effort, business justification for each item, and a phased remediation plan that can be done alongside feature work.

版本历史

  • 6f13415 当前 2026-07-05 18:28

同 Skill 集合

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enterprise-search/skills/digest/SKILL.md
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元信息

文件数
0
版本
d52a44f
Hash
ed3b4b14
收录时间
2026-07-05 18:28

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